Senior Machine Learning Infrastructure Engineer, Blue River Technology

• 4+ years of professional experience developing machine learning infrastructure, data platforms, robotics software, or related systems
• Proven track record of delivering complex data pipelines in production environments
• Strong background with ML pipelines and system architectures
• Strong Python coding skills
• Comfortable working across traditional team boundaries to deliver results
• If you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anyway

Desirable

• As a Senior ML Infrastructure Engineer, you will help grow and shape our E2E stack. This involves shaping the design of the E2E training and inference pipeline, both on and off vehicle, on and off prem
• You will also help with new models, features, and augmentations. This is a lean team moving quickly. You should be comfortable and excited about working with ambiguity, helping define what will move the program forward, working across traditional boundaries, and learning new things
• Design and own our data pipeline, from ingestion to training to search to reinforcement-learning correction data, and hopefully one day to simulation
• Grow the scale of our training pipeline from 10’s of hours of data to 1000’s of hours of data
• Design extensible software to work across many vehicle platforms and jobs
• Evaluate new models and model architectures
• Work closely with ML engineers and robotics engineers, collaborate to solve cross-disciplinary problems, and improve performance
• Make our project and customers successful
• Be an ambassador for our needs and help steer us towards an E2E-first organization